Fibrillation cycle length predicts cardiovascular events in patients with long-standing persistent atrial fibrillation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-11-19

AUTHORS

Hironori Nakamura, Shinichi Niwano, Hidehira Fukaya, Jun Kishihara, Akira Satoh, Jun Oikawa, Tomoharu Yoshizawa, Naruya Ishizue, Tazuru Igarashi, Tamami Fujiishi, Ryo Nishinarita, Ai Horiguchi, Junya Ako

ABSTRACT

BackgroundAtrial fibrillation (AF) is associated with an increased risk of heart failure (HF), stroke, and death. Although fibrillation cycle length (FCL) is used as a surrogate for atrial refractoriness, its impact on outcomes remains unclear. This study aimed to identify predictors of cardiovascular events, including FCL, in patients with long-standing persistent AF.MethodsThe study included 190 consecutive patients with long-standing persistent AF (mean age 74 years, 74% male). Patients with valvular AF or hemodialysis-dependent end-stage renal disease and those on anti-arrhythmic drugs were excluded. The primary composite outcome was occurrence of cardiovascular events (myocardial infarction, HF), cerebrovascular events (stroke, transient ischemic attack), and all-cause death. FCL was calculated by fast Fourier transformation analysis of fibrillation waves in the surface electrocardiogram.ResultsOver a median follow-up of 2.6 years, the primary outcome occurred in 31 patients (cardiovascular events, n = 18; cerebrovascular events, n = 8; all-cause death, n = 5). In multivariate analysis, longer FCL and history of HF were independent predictors of these outcomes. In a Cox proportional hazards model adjusted for age, sex, and history of HF, patients with an FCL > 160 ms (cut-off determined by receiver-operating characteristic curve analysis) were at increased risk of the outcome (hazard ratio 12.9; 95% confidence interval 4.99–44.10; p < 0.001).ConclusionsFCL was independently associated with cardiovascular outcomes in patients with long-standing persistent AF. More... »

PAGES

1-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00380-021-01993-x

DOI

http://dx.doi.org/10.1007/s00380-021-01993-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1142709438

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34799789


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